Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Blinov, Pavel"'
Autor:
Kumichev, Gleb, Blinov, Pavel, Kuzkina, Yulia, Goncharov, Vasily, Zubkova, Galina, Zenovkin, Nikolai, Goncharov, Aleksei, Savchenko, Andrey
Generating synthetic text addresses the challenge of data availability in privacy-sensitive domains such as healthcare. This study explores the applicability of synthetic data in real-world medical settings. We introduce MedSyn, a novel medical text
Externí odkaz:
http://arxiv.org/abs/2408.02056
Autor:
Ponomarchuk, Alexander, Kruzhilov, Ivan, Zubkova, Galina, Shadrin, Artem, Utegenov, Ruslan, Bessonov, Ivan, Blinov, Pavel
The SYNTAX score has become a widely used measure of coronary disease severity , crucial in selecting the optimal mode of revascularization. This paper introduces a new medical regression and classification problem - automatically estimating SYNTAX s
Externí odkaz:
http://arxiv.org/abs/2407.19894
Autor:
Blinov, Pavel, Egorov, Konstantin, Sviridov, Ivan, Ivanov, Nikolay, Botman, Stepan, Tagin, Evgeniy, Kudin, Stepan, Zubkova, Galina, Savchenko, Andrey
Publikováno v:
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI) Demo Track, 2024, pp. 8614-8618
Building an intelligent and efficient medical assistant is still a challenging AI problem. The major limitation comes from the data modality scarceness, which reduces comprehensive patient perception. This demo paper presents the GigaPevt, the first
Externí odkaz:
http://arxiv.org/abs/2402.16654
Specific medical cancer screening methods are often costly, time-consuming, and weakly applicable on a large scale. Advanced Artificial Intelligence (AI) methods greatly help cancer detection but require specific or deep medical data. These aspects p
Externí odkaz:
http://arxiv.org/abs/2309.15039
The paper describes the open Russian medical language understanding benchmark covering several task types (classification, question answering, natural language inference, named entity recognition) on a number of novel text sets. Given the sensitive n
Externí odkaz:
http://arxiv.org/abs/2201.06499
Autor:
Blinov, Pavel, Kokh, Vladimir
The paper researches the problem of representation learning for electronic health records. We present the patient histories as temporal sequences of diseases for which embeddings are learned in an unsupervised setup with a transformer-based neural ne
Externí odkaz:
http://arxiv.org/abs/2107.03913
In this paper we study the problem of predicting clinical diagnoses from textual Electronic Health Records (EHR) data. We show the importance of this problem in medical community and present comprehensive historical review of the problem and proposed
Externí odkaz:
http://arxiv.org/abs/2007.07562
Autor:
Yang, Guokun, Liu, Tianle, Aleksandravih, Blinov Pavel, Wang, Yazhou, Feng, Yingtao, Wen, Dayang, Fang, Changliang
Publikováno v:
In Energy 15 August 2022 253
Akademický článek
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Autor:
Blinov, Pavel Alexandrovich, Shansherov, Aleksandr Vladimirovich, Cheremshantsev, Danil Maksimovich, Kuznetsova, Natalya Yurievna, Nikishin, Vyacheslav Valerievich
Publikováno v:
Известия Томского политехнического университета
Bulletin of the Tomsk Polytechnic University
Bulletin of the Tomsk Polytechnic University
Качество крепления скважин является весьма актуальной проблемой в области цементирования скважин. В ходе разработки месторождения скв
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b498b25bb0d591916a8bae22861a8602
http://earchive.tpu.ru/handle/11683/74083
http://earchive.tpu.ru/handle/11683/74083